Tesla Sets New Standards in Autonomy with FSD Beta v12.1.2 Launch [Video]

By Kevin Armstrong
v12 rolling out
v12 rolling out
Not a Tesla App

Tesla has expanded its Full Self-Driving Beta program by releasing the first public version of FSD Beta 12.1.2, update 2023.44.30.12 to a select group of Tesla owners. This version is notable for its use of an end-to-end neural network, which is expected to greatly improve Tesla's advanced driver assist system (ADAS). The neural network, trained on millions of video clips, replaces much of the previous explicit C++ coding, improving the system's capability to handle complex driving situations. While Elon Musk had suggested that version 12 would see FSD coming out of beta, the release notes still label it as beta.

Tesla previously released FSD Beta v12 internally, including v12, v12.1, and v12.1.1, but v12.1.2 is the first to be available to non-employees. OG FSD Beta tester, and Tesla influencer, @WholeMarsBlog received this newest release last night and has already published his video (below).

Early Feedback & Tempering Expectations

Early reports say that FSD Beta v12 is more intuitive and drives more human-like. The feedback appears to be overwhelmingly positive, although it’s not uncommon for owners to get excited about such a monumental release that we’ve been looking forward to for many months. We may need to temper our expectations as this release alone won’t get us to level 4 or even level 3 autonomy, but it could be a significant step in the right direction. It could be as significant to vehicle control as when Tesla first transitioned to using AI for Autopilot.

Early reports say that there is a noticeable improvement in how the vehicle handles urban driving scenarios. The smoother transitions and quicker response times appear to contribute to a more comfortable and human-like driving experience. This shouldn’t be unexpected, as vehicle control is now trained on videos of humans driving instead of engineer-written code.

New Pull-Over Feature

A notable feature of FSD Beta v12.1.2 is its ability to pull over to the side of the road autonomously, a functionality showcased in Musk's live stream. At the end of a drive, the vehicle will now pull over to the site of the road instead of simply stopping. WholeMarsBlog shows off this feature in action in his video below:

Release Notes

For such a milestone release, Tesla hasn’t provided much information in the way of release notes. Each FSD Beta release normally contains a long list of technical release notes, which often need to be translated for everyone to understand. However, this time we get a single sentence that describes FSD Beta v12. The release notes simply state:

“FSD Beta v12 upgrades the city-streets driving stack to a single end-to-end neural network trained on millions of video clips, replacing over 300k lines of explicit C++ code.”

Road Ahead and Release Date

A clearer picture of FSD Beta v12.1.2 and its real-world performance will emerge as more Tesla owners receive the update and share their feedback. It will be interesting to see how the system handles diverse driving conditions, especially in areas with heavy precipitation, a scenario Elon Musk mentioned needing more training.

While this public release is monumental, the release to additional owners is expected to be a gradual and slow process. It could be months before most owners have access to this latest update. Tesla will likely gather feedback with this release and issue additional v12 betas to ignore other issues and improve the system.

While Tesla continues to innovate and refine its FSD technology, it is crucial to remember that the software is still in beta. The transition to full autonomy is a complex and gradual process, requiring rigorous testing and validation. However, with each update like v12.1.2, Tesla moves closer to realizing its vision of fully autonomous vehicles.

Tesla Denied “Robotaxi” Trademark for Autonomous Vehicles

By Karan Singh
Not a Tesla App

Tesla’s plan to brand its autonomous network of taxicabs has found an interesting little snag. The US Patent and Trademark Office (USPTO) has issued a “nonfinal office action” regarding Tesla’s application to trademark the term “Robotaxi” specifically in connection with autonomous electric vehicles.

This is an initial refusal by USPTO’s examining attorney and is very particular for autonomous electric automobiles. A separate trademark application by Tesla for the term “Robotaxi” as it relates to its upcoming autonomous ride-hailing service is still under examination and has not yet received a similar rebuttal.

Understanding the Refusal

A “nonfinal office action” means the USPTO has found potential issues with the trademark application, as stated, which prevents its immediate approval and subsequent granting to Tesla. Tesla now has a three-month period to file its counterarguments and address the USPTO's concerns. 

If Tesla’s response satisfies the examiner, the trademark could be granted.

While the exact content of the office action isn’t detailed in the initial report, such refusals for terms like “Robotaxi” often occur if the USPTO considers the term “merely descriptive” or “generic” for the goods in question. In this particular context, “Robotaxi” could refer to any autonomous taxi vehicle. 

Trademark law generally prevents the exclusive registration of terms that competitors would need to use to describe their own similar products. For a term to be trademarked, it typically needs to be distinctive and act as a brand identifier rather than just a descriptive name of the product’s class or type.

Separate Application for Ride-Hailing

Tesla still has a distinct, separate, and still pending application to register “Robotaxi” as a trademark for “transportation services, namely, autonomous ride-hailing services.” The criteria for trademarking a service can differ from those on trademarks for goods, and it’s possible Tesla may have more success securing the name for the service itself, which would allow them to brand the network as “Tesla Robotaxi.”

Why This Matters

Securing a trademark grants exclusive rights to use a brand name in conjunction with specific goods or services. This helps prevent customer confusion and to protect the brand identity.

If the refusal for the vehicle trademark becomes final, Tesla may be limited in its ability to exclusively name a good (specific vehicle) the “Tesla Robotaxi.” Other manufacturers could also potentially use “robotaxi” descriptively for their own autonomous taxi vehicles.

The ability to trademark “Robotaxi” for the ride-hailing service is arguably more critical for Tesla, as they’re working to establish a unique brand for their autonomous transportation network, which kicks off in Austin next month.

The USPTO’s office action won’t hinder Tesla’s ability to develop or deploy its own vehicles in June - instead, it’ll just impact how Tesla can brand the app and their vehicles, which could cause some last-minute delays if they have to rebrand.

Cybercab and Robovan/Robobus Trademarks

While Tesla is facing challenges with the broader Robotaxi term for vehicles, the company is also seeking to trademark “Cybercab,” “Robovan,” and “Robobus.” Securing a less descriptive name for the vehicle itself often has a higher chance of success with USPTO, as it is far more distinctive than a more general term like “robotaxi.”

Why Didn’t Tesla Do This Years Ago?

Tesla may have waited too long to file a trademark for the term “Robotaxi.” While the company has been discussing a self-driving fleet since 2016, the concept of autonomous taxis has gained a lot more traction in recent years — and competitors like Uber have also begun using the term.

We suspect there was some strategic timing behind these filings. Earlier versions of FSD — particularly those prior to V12 — may have lacked the progress needed to support Tesla’s robotaxi ambitions. Filing for a trademark that isn’t actively in use or about to be used can make it harder to defend or retain.

Moreover, while the idea of autonomous vehicles has been around for years, a clearer public understanding of Tesla’s specific plans has only emerged over the past 18 months. Filing too early can trigger speculation long before the company is ready to reveal details.

Ultimately, whether Tesla secures the rights to “Robotaxi” remains uncertain — but trademarks like “Cybercab” and “Robovan” seem much more likely to stick.

Tesla Launches AI Agent to Improve Tesla Service Communications

By Karan Singh
Not a Tesla App

One of Tesla’s greatest weaknesses, as it has quickly become one of the world’s most ubiquitous cars on the planet has always been service. Escalating issues to managers and sometimes even reaching a Tesla Service employee can be a total coin flip, depending on your Service Center.

Tesla is continuing its push to integrate AI across its customer support channels in an effort to improve customer service. According to Raj Jegannathan, Tesla’s VP for IT, AI Infrastructure, Apps, Infosecurity, and Vehicle Service Operations (that’s a lot), Tesla is launching a pilot program for a new AI designed to improve customer interactions with Service.

This new initiative follows other recent AI deployments across Tesla’s customer-facing channels, including the personalized AI assistant within the Tesla App, the ability to ask questions to AI on Tesla’s website, and the biggest one, the new voice-based AI customer representative introduced for Tesla Insurance.

Proactive AI Support

At 10 pilot service locations, this new AI agent will begin working behind the scenes at Tesla Service, to help with customer communications. It will provide three key features:

Detect Communications Delays: The AI will actively monitor service interactions to identify potential delays in communication or progress. These are often a key pain point for customers who reach out to Tesla Service and don’t receive a response for several days, as Service has nothing new to add. The AI can now step in and let the customer know Tesla is still waiting on parts or something else.

Monitor Customer Sentiment: By monitoring the tone and content of the messages between the customer and Service agents, Tesla will be able to identify situations where a customer might be dissatisfied or facing difficulties.

Auto-Escalate: If either a communications delay or negative sentiment is detected, the AI can automatically escalate issues to human managers for review. This helps to address problems before customers need to seek escalation themselves or become upset about an issue.

Customer Escalation Requests

Alongside the new AI tool, Tesla is also introducing a more direct way for customers to get higher-level attention. According to Tesla, within the next two weeks, customers can simply type “Escalate” in order to have their issue routed directly to management.

Raj’s team is currently working on implementing guardrails to prevent abuse, but this will soon make its way to improving Tesla’s service offerings. We’re glad to see Tesla taking steps to identify and correct deficiencies in the process - it has always been a sore tooth for Tesla in the last few years.

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